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SINR Balancing Technique for Downlink Beamforming in Cognitive Radio Networks

Research output: Contribution to Journal/Magazine › Journal article › peer-review

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SINR Balancing Technique for Downlink Beamforming in Cognitive Radio Networks. / Cumanan, Kanapathippillai; Musavian, Leila; Lambotharan, Sangarapillai et al.
In: IEEE Signal Processing Letters, Vol. 17, No. 2, 02.2010, p. 133-136.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Cumanan, K, Musavian, L, Lambotharan, S & Gershman, AB 2010, 'SINR Balancing Technique for Downlink Beamforming in Cognitive Radio Networks', IEEE Signal Processing Letters, vol. 17, no. 2, pp. 133-136. https://doi.org/10.1109/LSP.2009.2033650

APA

Cumanan, K., Musavian, L., Lambotharan, S., & Gershman, A. B. (2010). SINR Balancing Technique for Downlink Beamforming in Cognitive Radio Networks. IEEE Signal Processing Letters, 17(2), 133-136. https://doi.org/10.1109/LSP.2009.2033650

Vancouver

Cumanan K, Musavian L, Lambotharan S, Gershman AB. SINR Balancing Technique for Downlink Beamforming in Cognitive Radio Networks. IEEE Signal Processing Letters. 2010 Feb;17(2):133-136. doi: 10.1109/LSP.2009.2033650

Author

Cumanan, Kanapathippillai ; Musavian, Leila ; Lambotharan, Sangarapillai et al. / SINR Balancing Technique for Downlink Beamforming in Cognitive Radio Networks. In: IEEE Signal Processing Letters. 2010 ; Vol. 17, No. 2. pp. 133-136.

Bibtex

@article{cc4970ea094e48699bb03bb375ebc5fd,
title = "SINR Balancing Technique for Downlink Beamforming in Cognitive Radio Networks",
abstract = "We propose a novel signal to interference and noise (SINR) balancing technique for a downlink cognitive radio network (CRN) wherein multiple cognitive users (also referred to as secondary users (SUs)) coexist and share the licensed spectrum with the primary users (PUs) using the underlay approach. The proposed beamforming technique maximizes the worst SU SINR while ensuring that the interference leakage to PUs is below specific thresholds. Due to the additional interference constraints imposed by PUs, the principle of uplink-downlink duality used in the conventional downlink beamformer design cannot be directly applied anymore. To circumvent this problem, using an algebraic manipulation on the interference constraints, we propose a novel SINR balancing technique for CRNs based on uplink-downlink iterative design techniques. Simulation results illustrate the convergence and the optimality of the proposed beamformer design.",
author = "Kanapathippillai Cumanan and Leila Musavian and Sangarapillai Lambotharan and Gershman, {Alex B.}",
year = "2010",
month = feb,
doi = "10.1109/LSP.2009.2033650",
language = "English",
volume = "17",
pages = "133--136",
journal = "IEEE Signal Processing Letters",
issn = "1070-9908",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "2",

}

RIS

TY - JOUR

T1 - SINR Balancing Technique for Downlink Beamforming in Cognitive Radio Networks

AU - Cumanan, Kanapathippillai

AU - Musavian, Leila

AU - Lambotharan, Sangarapillai

AU - Gershman, Alex B.

PY - 2010/2

Y1 - 2010/2

N2 - We propose a novel signal to interference and noise (SINR) balancing technique for a downlink cognitive radio network (CRN) wherein multiple cognitive users (also referred to as secondary users (SUs)) coexist and share the licensed spectrum with the primary users (PUs) using the underlay approach. The proposed beamforming technique maximizes the worst SU SINR while ensuring that the interference leakage to PUs is below specific thresholds. Due to the additional interference constraints imposed by PUs, the principle of uplink-downlink duality used in the conventional downlink beamformer design cannot be directly applied anymore. To circumvent this problem, using an algebraic manipulation on the interference constraints, we propose a novel SINR balancing technique for CRNs based on uplink-downlink iterative design techniques. Simulation results illustrate the convergence and the optimality of the proposed beamformer design.

AB - We propose a novel signal to interference and noise (SINR) balancing technique for a downlink cognitive radio network (CRN) wherein multiple cognitive users (also referred to as secondary users (SUs)) coexist and share the licensed spectrum with the primary users (PUs) using the underlay approach. The proposed beamforming technique maximizes the worst SU SINR while ensuring that the interference leakage to PUs is below specific thresholds. Due to the additional interference constraints imposed by PUs, the principle of uplink-downlink duality used in the conventional downlink beamformer design cannot be directly applied anymore. To circumvent this problem, using an algebraic manipulation on the interference constraints, we propose a novel SINR balancing technique for CRNs based on uplink-downlink iterative design techniques. Simulation results illustrate the convergence and the optimality of the proposed beamformer design.

U2 - 10.1109/LSP.2009.2033650

DO - 10.1109/LSP.2009.2033650

M3 - Journal article

VL - 17

SP - 133

EP - 136

JO - IEEE Signal Processing Letters

JF - IEEE Signal Processing Letters

SN - 1070-9908

IS - 2

ER -